Dataset and code for Learning from Context or Names? An Empirical Study on Neural Relation Extraction.

If you use this code, please cite us

@article{peng2020learning,
  title={Learning from Context or Names? An Empirical Study on Neural Relation Extraction},
  author={Peng, Hao and Gao, Tianyu and Han, Xu and Lin, Yankai and Li, Peng and Liu, Zhiyuan and Sun, Maosong and Zhou, Jie},
  journal={arXiv preprint arXiv:2010.01923},
  year={2020}
}

You can quickly run our code by following steps:

• Install dependencies as described in following section.
• cd to pretrain or finetune directory then download and pre-processing data for pre-traing or finetuning.

Run the following script to install dependencies.

pip install -r requirement.txt

You need install transformers and apex manually.

transformers We use huggingface transformers to implement Bert. And for convenience, we have downloaded transformers into utils/. And we have also modified some lines in the class BertForMaskedLM in src/transformers/modeling_bert.py while keep the other codes unchanged.

You just need run

pip install .

to install transformers manually.

apex Install apex under the offical guidance.

You can cd to pretrain or finetune to learn more details about pre-training or finetuning.